Instructions to use mobilint/Inception_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/Inception_V3 with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="Inception_V3", model_type="DEFAULT", model_path="", core_mode="global8", ) try: image = model.preprocess("path/to/image.jpg") output = model(image) result = model.postprocess(output) finally: model.dispose() - Notebooks
- Google Colab
- Kaggle
Kanybek Asanbekov commited on
Commit ·
d87935a
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Parent(s): d664083
Add aries results and fix .gitattributes order
Browse files
aries/best_result.json
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{"acc": 0.77246, "timestamp": 1777165628, "checkpoint_dir_name": null, "done": true, "training_iteration": 1, "trial_id": "c0c73eb4", "date": "2026-04-26_10-07-08", "time_this_iter_s": 567.0934298038483, "time_total_s": 567.0934298038483, "pid": 1673419, "hostname": "ae30e054f296", "node_ip": "172.17.0.3", "config": {"percentile": 0.00018455044186072614, "topk": 0.026939095786877587}, "time_since_restore": 567.0934298038483, "iterations_since_restore": 1, "experiment_tag": "15_percentile=0.0002,topk=0.0269"}
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aries/inception_v3_IMAGENET1K_V1.mxq
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version https://git-lfs.github.com/spec/v1
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oid sha256:04f27d5a9419f122b01fad39cefa1fb5c535de773d05517abd813fbc858db978
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size 26698205
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